• Title/Summary/Keyword: Effective Uses

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Modeling of Remediation Design in Theoretically Heterogeneous Domain

  • Ko, Nak-Youl;Lee, Kang-Kun
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.09a
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    • pp.302-306
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    • 2004
  • Probabilistic approaches are applied to the problem of groundwater remediation design to consider the risk of design and heterogeneity of real condition. Hydraulic conductivity fields are generated by two methods. First, the homogeneous domains which have the hydraulic conductivity with log-normal distribution are constructed by using Latin Hypercube method. Second, random fields with a certain spatial correlation are also generated. The optimal solutions represented by cumulative distribution function (CDF) of relative cost are calculated by three different manners. The one uses the homogeneous domains with the optimal design of base condition. It shows that ver)'wide range of cost and the influences of different penalty values. The other one uses the random field with same design and shows narrow range of cost. These CDF can reflect on the risk of optimal solution in a simple exampie condition and be effective in estimating the cost of groundwater remediation.

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Circle List-Based Obstacle Avoidance for Omni-directional Mobile Robots in Dynamic Environments (동적 환경에서의 전방위 이동 로봇을 위한 서클 리스트(Circle List) 기반의 장애물 회피)

  • Cheon, Hong-Seok;Kim, Byung-Kook
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.12
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    • pp.1227-1233
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    • 2011
  • An effective method of obstacle avoidance for omni-directional mobile robots is proposed to avoid moving obstacles in dynamic environments. Our method uses the concept of circle lists which represent the trajectories of robot and obstacles. This method predicts not only collision position but also collision time, and hence it enables the robot avoiding the most urgent collision first. In order to avoid obstacles, our method uses artificial repulsive force and contraction force. Simulation results show that the robot could avoid obstacles effectively.

Development of a Traceability Analysis Method Based on Case Grammar for NPP Requirement Documents Written in Korean Language

  • Yoo Yeong Jae;Seong Poong Hyun;Kim Man Cheol
    • Nuclear Engineering and Technology
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    • v.36 no.4
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    • pp.295-303
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    • 2004
  • Software inspection is widely believed to be an effective method for software verification and validation (V&V). However, software inspection is labor-intensive and, since it uses little technology, software inspection is viewed upon as unsuitable for a more technology-oriented development environment. Nevertheless, software inspection is gaining in popularity. KAIST Nuclear I&C and Information Engineering Laboratory (NICIEL) has developed software management and inspection support tools, collectively named "SIS-RT. "SIS-RT is designed to partially automate the software inspection processes. SIS-RT supports the analyses of traceability between a given set of specification documents. To make SIS-RT compatible for documents written in Korean, certain techniques in natural language processing have been studied [9]. Among the techniques considered, case grammar is most suitable for analyses of the Korean language [3]. In this paper, we propose a methodology that uses a case grammar approach to analyze the traceability between documents written in Korean. A discussion regarding some examples of such an analysis will follow.

Implementation of Internet Recruiting Negotiation System using Multi Agents (멀티 에이전트를 이용한 인터넷 채용 협상 시스템의 구현)

  • Lee Keun-Soo;Yoon Sun-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.2 s.40
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    • pp.341-349
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    • 2006
  • These day, Internet Recruiting needs negotiation of recruiting items. So in this paper, Internet Recruiting Negotiation System(IRNS) proposes multilateral negotiation that substitutes applicants and employers. Previous NSS uses preference value of multi-attribute and sequential negotiation. But proposed IRNS uses parallel negotiation of multi-attribute. parallel negotiation supplies multi-attribute negotiation including single-attribute and results of parallel negotiation. This paper proposes effective negotiation using weight strategy of multi-attribute.

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Implementation of WCDMA Air Protocol Analyzer with An Effective Equalizer Design using Characteristic of Sparse Matrix (희소 행렬의 특성을 이용하여 효율적인 등화기 설계법이 적용된 WCDMA 무선 신호 분석기 구현)

  • Shin, Chang Eui;Choi, Seung Won
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.1
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    • pp.111-118
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    • 2013
  • This paper presents implementation of Air protocol analyzer and physical layer design algorithm. The analyzer is a measurement system providing real-time analysis of wireless signals between User Equipment (UE) and Node-B. The implemented system proposed in this paper consists of Digital Signal Processors (DSPs) and Field Programmable Gate Arrays (FPGAs). The waveform of Wideband Code Division Multiple Access (WCDMA) has been selected for verification of the proposed system. We designed the analyzer using equalizer algorithm and rake-receiver algorithm. Among various algorithms of designing the equalizer, we have chosen Linear Minimum Mean Square Error (LMMSE) equalizer that uses the inverse of channel matrix. Since the LMMSE equalizer uses the inverse channel matrix, it suffers from a large amount of computational load, while it outperforms most conventional equalizers. In this paper, we introduce an efficient procedure of reducing the computational load required by LMMSE equalizer-based receiver.

A Decision Tree Induction using Genetic Programming with Sequentially Selected Features (순차적으로 선택된 특성과 유전 프로그래밍을 이용한 결정나무)

  • Kim Hyo-Jung;Park Chong-Sun
    • Korean Management Science Review
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    • v.23 no.1
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    • pp.63-74
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    • 2006
  • Decision tree induction algorithm is one of the most widely used methods in classification problems. However, they could be trapped into a local minimum and have no reasonable means to escape from it if tree algorithm uses top-down search algorithm. Further, if irrelevant or redundant features are included in the data set, tree algorithms produces trees that are less accurate than those from the data set with only relevant features. We propose a hybrid algorithm to generate decision tree that uses genetic programming with sequentially selected features. Correlation-based Feature Selection (CFS) method is adopted to find relevant features which are fed to genetic programming sequentially to find optimal trees at each iteration. The new proposed algorithm produce simpler and more understandable decision trees as compared with other decision trees and it is also effective in producing similar or better trees with relatively smaller set of features in the view of cross-validation accuracy.

Congestion Control Scheme for Multimedia Traffic over ATM ABR Service

  • Kim, Jung-Youp;Lee, Sang-Heok;Park, Young-Bok
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.525-528
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    • 2000
  • According to the development of B-ISDN on ATM network, the uses of Multimedia service is growing. Although ABR service uses the network resource most effectively because it is able to change the transfer rate, it is not used for multimedia service until recently. In this paper, we set priority queue and non-priority queue in the ATM switch and each queue has threshold so is can be adopted in different transfer rate method. We propose the real-time traffic transfer method over ABR service based on an effective traffic control method.

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Robust Design using Nonsingleton Fuzzy Logic System (Nonsingleton 퍼지 논리 시스템을 이용한 강인 시스템의 설계)

  • Ryu, Youn-Bum;Ahn, Tae-Chon
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.493-495
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    • 1998
  • Robust design is one method to make manufacturing less sensitive to manufacturing process. Also it is cost effective technique to improve the quality process. This method uses statistically planned experiments to vary settings of important process control parameters. In this paper we apply fuzzy optimization and fuzzy logic system to robust design concept. First a method which uses fuzzy optimization in obtaining optimum settings by measured data from experiments will be presented. Second, fuzzy logic system is made to reduce experiments using experiments results consisted with key control parameter combinations. Then optimum parameter set points are obtained by the descrebed first fuzzy optimization method after prediction the results of each parameter combinations considering each control parameter variations by nonsingleton fuzzy logic system concept.

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Emergency Monitoring System Based on a Newly-Developed Fall Detection Algorithm

  • Yi, Yun Jae;Yu, Yun Seop
    • Journal of information and communication convergence engineering
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    • v.11 no.3
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    • pp.199-206
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    • 2013
  • An emergency monitoring system for the elderly, which uses acceleration data measured with an accelerometer, angular velocity data measured with a gyroscope, and heart rate measured with an electrocardiogram, is proposed. The proposed fall detection algorithm uses multiple parameter combinations in which all parameters, calculated using tri-axial accelerations and bi-axial angular velocities, are above a certain threshold within a time period. Further, we propose an emergency detection algorithm that monitors the movements of the fallen elderly person, after a fall is detected. The results show that the proposed algorithms can distinguish various types of falls from activities of daily living with 100% sensitivity and 98.75% specificity. In addition, when falls are detected, the emergency detection rate is 100%. This suggests that the presented fall and emergency detection method provides an effective automatic fall detection and emergency alarm system. The proposed algorithms are simple enough to be implemented into an embedded system such as 8051-based microcontroller with 128 kbyte ROM.

Simple and effective neural coreference resolution for Korean language

  • Park, Cheoneum;Lim, Joonho;Ryu, Jihee;Kim, Hyunki;Lee, Changki
    • ETRI Journal
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    • v.43 no.6
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    • pp.1038-1048
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    • 2021
  • We propose an end-to-end neural coreference resolution for the Korean language that uses an attention mechanism to point to the same entity. Because Korean is a head-final language, we focused on a method that uses a pointer network based on the head. The key idea is to consider all nouns in the document as candidates based on the head-final characteristics of the Korean language and learn distributions over the referenced entity positions for each noun. Given the recent success of applications using bidirectional encoder representation from transformer (BERT) in natural language-processing tasks, we employed BERT in the proposed model to create word representations based on contextual information. The experimental results indicated that the proposed model achieved state-of-the-art performance in Korean language coreference resolution.